In today’s world where ‘data is the new oil’ ( as said by Clive Humby), not giving proper attention to data-driven testing is not justified. If you have an application that needs data input in some form then it will require data-driven testing.
Data is powerful. Businesses globally adopt data-driven techniques to make highly informed and mindful decisions. Creating a culture of relying on data adds immense value and lets us interpret data into real, actionable insights. But more than anything, data offers clarity. According to CIO Dive, data-driven organizations have at least a 58 percent of chances to meet their revenue goals in comparison to non-data-driven organizations.
If you’ve not heard of decK (our declarative configuration and drift detection tool for Kong Gateway) before, now’s a great time to get hands-on with it as we’ve just shipped decK v1.7.0 with a whole host of new goodies. Oh, and it’s all open source as usual.
In our second Kong and Okta tutorial, we’ll go through the authorization code flow applied to user authentication processes. This series will show you how to implement service authentication and authorization for Kong Konnect and Okta using the OpenID Connect (OIDC) plugin.
As we've discussed in our previous Service Discovery post, decoupled services in a microservice architecture communicate via APIs. But what about the communication between clients outside of your system and the services within your application? How does that communication work? An API gateway is a powerful component in a microservice architecture. Pairing its functionality with a serverless platform like Koyeb saves engineering teams time and maximizes computing resources efficiency.
Software errors are annoying – they are troublesome for IT departments and affect many company processes. A software error is essentially a mismatch between what is expected of the program and the produced output. Sometimes these software errors could have negligible impact, while on other occasions, they could wreak absolute havoc, especially for industries like banking, healthcare, airlines, and stock markets.
Let’s face it, debugging is broken. Whether you wholeheartedly agree or vehemently disagree with that statement, I think we can all agree that debugging, at the very least, has room for improvement. In fact, the way software developers debug their code hasn’t changed much.
Earlier this month, an executive order was issued from the White House aimed at improving the cybersecurity of the United States. This much-anticipated order comes on the heels of widely publicized digital attacks, such as Colonial Pipeline and SolarWinds, which illustrate the current state of cybersecurity standards in the software industry.
Many IP and data management tools provide a project-centric view of the design process, creating what are known as design silos. While this makes some sense, as most designers tend to think of themselves as working on a project at time, and other items within the company are tracked on a project basis (such as cost, resources, and timelines), this approach is not without its drawbacks.
In an unforeseen move earlier this year, Atlassian announced that they were depreciating server products to accelerate movement to cloud products. For teams that utilize Jira Server products, the announcement started the clock on a pivotal decision. Users of Jira Server products have until February 2nd, 2024 to integrate into Jira Cloud products, or migrate into an on-prem server solution. This change has had and will continue to have a wider effect of other parts on the ecosystem of DevOps tools.
